Block truncation coding using edginess information

Author

Beghdadi, A. ; Iordache, R.

Author_Institution

Inst. Galilee, Univ. de Paris-Nord, Villetaneuse, France

Volume

2

fYear

2000

fDate

10-13 Sept. 2000

Firstpage

175

Abstract

An improvement of the well-known block truncation coding (BTC) method, introduced by Delp and Mitchell (1979), is proposed. The basic idea, derived from previous work of Beghdadi and Le Negrate (1989, 1991) on contrast enhancement and image filtering using a local contrast measure is to exploit edginess information in estimating both the quantization threshold and the reconstruction levels. The results obtained on actual images clearly show the efficiency of the method in preserving edge information compared to similar approaches.

Keywords

data compression; filtering theory; image coding; image enhancement; image reconstruction; quantisation (signal); block truncation coding; contrast enhancement; edge information preservation; edginess information; image filtering; local contrast measure; method efficiency; quantization threshold; reconstruction levels; Bit rate; Distortion measurement; Image reconstruction; Information filtering; Information filters; Mean square error methods; PSNR; Pixel; Quantization; Visual perception;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing, 2000. Proceedings. 2000 International Conference on

Conference_Location

Vancouver, BC, Canada

ISSN

1522-4880

Print_ISBN

0-7803-6297-7

Type

conf

DOI

10.1109/ICIP.2000.899256

Filename

899256